Assistant Clinical Professor: Computer Science & AI

Aurora University

South Dakota

Vor Ort

USD 70.000 - 100.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Aurora University seeks an Assistant Clinical Professor in the Computer Science Program to teach primarily within the CS development track. The role involves delivering courses such as data structures, algorithms, programming languages, databases, and object-oriented design, with potential CS/IT topics depending on staffing needs.

The position emphasizes teaching across on-ground, online, and hybrid formats, and encourages use of AI tools and mentoring to support student learning.

Qualifikationen

  • Doctorate in Computer Science, Cybersecurity, or a closely related field preferred; a master's degree with substantial relevant work experience will be considered.
  • ABD candidates will also be considered.
  • Prior teaching experience online and on-ground is preferred.
  • Industry experience in software development and/or cybersecurity is valued.

Aufgaben

  • Teach 24 credits per academic year (3–4 credit courses per semester) in the CS development track.
  • Teach effectively in on-ground, online, and hybrid formats.
  • Effectively use AI and a range of LLMs to mentor students.
  • Participate in university service and engage in scholarly activity.
  • Advise students and support student research and mentoring initiatives.

Kenntnisse

Teaching undergraduates
AI in education
Course development
Online/Hybrid instruction
Communication skills
Independent work

Ausbildung

Doctorate in CS or Cybersecurity
ABD candidates considered
Master's with substantial experience

Jobbeschreibung

Aurora University seeks an Assistant Clinical Professor in the Computer Science Program to teach primarily within the CS development track. The role involves delivering courses such as data structures, algorithms, programming languages, databases, and object-oriented design, with potential CS/IT topics depending on staffing needs.

The position emphasizes teaching across on-ground, online, and hybrid formats, and encourages use of AI tools and mentoring to support student learning.

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